Method and system for monitoring electrical state of electromechanical equipment

Abstract

The invention relates to the field of motor monitoring, in particular to an electromechanical equipment electrical state monitoring method and system, and the method comprises the steps: analyzing the power generation influence relation of a wind energy environment where electromechanical integrated equipment is located in recent time on a motor in the equipment according to wind energy environment data and electromechanical capacity data, and obtaining the wind power conversion environment supportability; analyzing charging energy consumption feedback conditions of the mechatronics equipment in different working modes according to the mechatronics capacity data and based on the power generation intensity of the mechatronics equipment, and obtaining an electric energy storage matching degree in combination with the wind power conversion environment supportability; according to the energy storage matching degree, electromagnetic pressure and mechanical pressure borne by the electromechanical integrated equipment in different working modes are analyzed, and the working mode is selected in a self-adaptive mode to be matched with the electromechanical equipment. The degree of information distortion caused by interference of the electrical state is reduced, and the new energy utilization rate of electromechanical equipment is improved.

Description

Technical Field

[0001] The present invention relates to the field of motor monitoring, and particularly to a method and system for monitoring the electrical state of electromechanical equipment. Background Art

[0002] Mechatronic equipment is an integrated equipment that organically combines technologies such as machinery, electronics, and computers to achieve automated control and intelligent operation. It is mainly used to improve production efficiency and product quality. Mechatronic equipment mainly includes two major constituent modules: a mechanical hardware module and an electronic technology module. With the continuous development of new energy and energy storage in recent years, mechatronic equipment has also gradually been applied in the field of new energy. In the field of wind energy, for example, mechatronic equipment integrates wind turbines, generators, and transmission devices, and through an automated control system, it can control power in real time to achieve a compact structure and efficient energy conversion.

[0003] When mechatronic equipment generates electricity using wind energy, due to the large randomness of the operating state of wind energy in the actual environment, the electrical energy obtained by the mechatronic equipment has large random fluctuations, randomly generating different degrees of electromagnetic interference, which in turn interferes with the electrical state of the mechatronic equipment, making it impossible for the mechatronic equipment to effectively convert and operate wind energy during operation. Summary of the Invention

[0004] The present invention provides a method and system for monitoring the electrical state of electromechanical equipment to solve the existing problems: the large randomness of the operating state of wind energy in the actual environment causes large random fluctuations in the electrical energy obtained by mechatronic equipment, randomly generating different degrees of electromagnetic interference, which interferes with the effective expression of the electrical state of mechatronic equipment.

[0005] A method and system for monitoring the electrical state of electromechanical equipment according to the present invention adopt the following technical solutions: The present invention proposes a method for monitoring the electrical state of electromechanical equipment, which includes the following steps: Obtain a number of wind energy environment data and a number of electromechanical production capacity data of the mechatronic equipment at different historical electrical monitoring times; Based on the wind energy environment data and the electromechanical production capacity data, analyze the relationship between the wind energy environment where the mechatronic equipment is located in the near future and the power generation impact on the motor in the equipment, and obtain the wind power conversion environment supportiveness of the mechatronic equipment at different historical electrical monitoring times; According to the electromechanical production capacity data, based on the power generation intensity of the mechatronic equipment, analyze the charging energy consumption feedback of the mechatronic equipment in different working modes, and combine it with the wind power conversion environment supportiveness to obtain the electrical energy storage matching degree of each working mode of the mechatronic equipment at different historical electrical monitoring times; According to the energy storage matching degree, analyze the electromagnetic pressure and mechanical pressure borne by the mechatronic device itself under different working modes, and obtain the electrical state adaptability of each working mode of the mechatronic device at different historical electrical monitoring moments; According to the electrical state adaptability, adaptively select the working mode to match the electromechanical device and monitor the electrical state.

[0006] Preferably, the method for obtaining the wind power conversion environment supportiveness is as follows: According to a number of wind energy environment data of the mechatronic device at different historical electrical monitoring moments, analyze the wind energy supply situation of the external environment where the mechatronic device is located, and obtain the wind energy supply intensity of the mechatronic device at different historical electrical monitoring moments; according to the wind energy supply intensity, analyze the co-directional change relationship between the wind energy environment and the electromechanical production capacity data at adjacent historical electrical monitoring moments, and obtain the wind power conversion environment supportiveness of the mechatronic device at different historical electrical monitoring moments.

[0007] Preferably, the method for obtaining the wind energy supply intensity is as follows: Take any historical electrical monitoring moment as the target electrical monitoring moment, and according to the wind energy environment data, analyze the rotation situation of the fan blades of the mechatronic device before the target electrical monitoring moment, and obtain the environmental energy supply standard value of the wind energy environment data of the mechatronic device at the target electrical monitoring moment; compare the difference between the environmental energy supply standard value and the wind energy environment data, and obtain the wind energy supply intensity of the mechatronic device at the target historical electrical monitoring moment.

[0008] Preferably, the method for obtaining the electrical energy storage matching degree is as follows: According to the electromechanical production capacity data and the wind power conversion environment supportiveness, analyze the effective energy storage situation of electrical energy of the mechatronic device at different historical electrical monitoring moments, and obtain the electromechanical effective energy storage degree of the mechatronic device at different historical electrical monitoring moments; according to the electromechanical effective energy storage degree, analyze the adaptation situation of different working modes of the mechatronic device to the electrical energy conversion environment at the same historical electrical monitoring moment, and obtain the mode operation adaptability of different working modes of the mechatronic device at each historical electrical monitoring moment; according to the mode operation adaptability, analyze the stable maintenance situation of the same working mode of the mechatronic device at consecutive historical electrical monitoring moments, and obtain the electrical energy storage matching degree of each working mode of the mechatronic device at different historical electrical monitoring moments.

[0009] Preferably, the method for obtaining the electromechanical effective energy storage degree is as follows: According to the environmental support for wind power conversion, analyze the battery charging and discharging conditions of mechatronic equipment at different historical electrical monitoring times, and divide all historical electrical monitoring times into two categories: the main battery charging state and the main battery output state; according to the mechatronic production capacity data, analyze the excess progress of electrical energy between the main battery charging state and the main battery output state, and obtain the effective mechatronic energy storage degree of the mechatronic equipment at different historical electrical monitoring times.

[0010] Preferably, the method for obtaining the mode operation adaptability is as follows: According to the effective mechatronic energy storage degree, compare the differences in power conversion requirements of the mechatronic equipment under different working modes, and obtain the mode operation adaptability of different working modes of the mechatronic equipment at each historical electrical monitoring time.

[0011] Preferably, the method for obtaining the electrical state adaptability is as follows: Integrate the air flow intensity and current activity range of the mechatronic equipment under each working mode to obtain the mechanical and electromagnetic interference of the mechatronic equipment under each working mode at different historical electrical monitoring times; combine the electrical energy storage matching degree with the mechanical and electromagnetic interference to obtain the electrical state adaptability of the mechatronic equipment under each working mode at different historical electrical monitoring times.

[0012] Preferably, the method for obtaining the mechanical and electromagnetic interference is as follows: For any working mode, before any historical electrical monitoring time, obtain the current activity range and average air flow intensity of the mechatronic equipment in the working mode; multiply the length of the current activity range by the average air flow intensity as the mechanical and electromagnetic interference of the mechatronic equipment in the working mode at the historical electrical monitoring time.

[0013] Preferably, after calculating the electrical state adaptability, it further includes: Perform normalization processing on the electrical state adaptability.

[0014] The present invention also proposes a mechatronic equipment electrical state monitoring system, including a memory and a processor, and the processor executes the computer program stored in the memory to implement the steps of the above-mentioned mechatronic equipment electrical state monitoring method.

[0015] The beneficial effects of the technical solution of the present invention are as follows: By analyzing the relationship between the wind energy environment where the mechatronic device is located in the near future and the power generation of the motor in the device, the supportiveness of the wind power conversion environment at the historical electrical monitoring moment is obtained; the supportiveness of the wind power conversion environment is used to describe the support intensity of the wind energy for power generation of the mechatronic device at the corresponding historical electrical monitoring moment, and quantifies the effective capture ability of the mechatronic device for external wind energy; then, based on the power generation intensity, the charging energy consumption feedback of the device in different working modes is analyzed, and combined with the supportiveness of the wind power conversion environment, the electrical energy storage matching degree of each working mode is obtained; the electrical energy storage matching degree is used to describe the matching situation between the power conversion effect of the mechatronic device at different historical electrical monitoring moments and different working modes, enabling the mechatronic device to better find a working mode suitable for the current power generation situation and reduce energy waste; finally, according to the energy storage matching degree, the electromagnetic pressure and mechanical pressure borne by the mechatronic device itself in different working modes are analyzed, and the electrical state adaptability of each working mode is obtained; the electrical state adaptability is used to describe the matching degree between the electrical state of the mechatronic device at different historical electrical monitoring moments and the working mode. On the basis of power generation, the interference intensity of the electromagnetic in terms of software technology and the mechanical in terms of hardware is analyzed, so that the electrical state matching the working mode more meets the requirements of the corresponding working mode and reduces the degree of information distortion caused by the interference of the electrical state. The present invention adaptively selects a working mode to match the electromechanical device based on the effective utilization of external wind energy by the mechatronic device, combined with the analysis of the interference intensity of the mechatronic device on the electrical state in terms of software and hardware, and monitors the subsequent electrical state; reduces the degree of information distortion caused by the interference of the electrical state and improves the utilization rate of new energy by the electromechanical device. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0017] Figure 1 It is a flowchart of the steps of a method for monitoring the electrical state of an electromechanical device of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] To further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following specifically describes, in conjunction with the accompanying drawings and preferred embodiments, a method and system for monitoring the electrical state of a mechatronic device according to the present invention, including its specific implementation manner, structure, features, and effects. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0020] The following specifically describes, in conjunction with the accompanying drawings, the specific solution of a method and system for monitoring the electrical state of a mechatronic device provided by the present invention.

[0021] Please refer to Figure 1 , which shows a flowchart of the steps of a method for monitoring the electrical state of a mechatronic device provided by an embodiment of the present invention. The method includes the following steps: Step S001: Obtain a number of wind energy environment data and a number of mechatronic production capacity data at different historical electrical monitoring times of the mechatronic device.

[0022] It should be noted that when the mechatronic device uses wind energy for power generation, due to the large randomness of the actual operating state of wind energy in the environment, the electrical energy obtained by the mechatronic device has large random fluctuations, randomly generating different degrees of electromagnetic interference, thereby interfering with the electrical state of the mechatronic device and making it unable to effectively convert and operate wind energy during operation.

[0023] In a specific implementation manner of the embodiment of the present invention, the method for obtaining wind energy environment data and mechatronic production capacity data is as follows: Obtain a number of wind energy environment data and a number of mechatronic production capacity data from the historical mechatronic database of the mechatronic device in the recent . In this embodiment, days are taken as an example for description. This embodiment does not make specific limitations, and can be determined according to the specific implementation situation.

[0024] It should be especially noted that in this embodiment, the historical mechatronic database records data with each second as a historical electrical monitoring time; a mechanical environment data such as the wind turbine speed is recorded at each historical electrical monitoring time, and four wind energy reference data such as wind speed, wind direction, temperature, and humidity, as well as two mechatronic production capacity data such as motor current and motor power. Among them, the mechanical environment data and the wind energy reference data are both used as wind energy environment data.

[0025] It should be noted that the mechatronic device for wind power generation itself has multiple working modes. In this embodiment, three of these working modes are selected as examples for description. These three working modes are, in sequence, the grid-connected mode: connecting the mechatronic device to the public power grid; the black start mode: stopping the operation of the mechatronic device; and the island mode: operating the mechatronic device independently without connecting it to the public power grid.

[0026] Thus far, through the above method, a number of wind energy environment data and a number of mechanical and electrical production capacity data of the mechatronic device at different historical electrical monitoring times are obtained.

[0027] Step S002: Based on the wind energy environment data and the mechanical and electrical production capacity data, analyze the relationship between the wind energy environment where the mechatronic device is located in the near future and the power generation of the motor in the device, and obtain the supportiveness of the wind power conversion environment of the mechatronic device at different historical electrical monitoring times.

[0028] It should be noted that although the geographical location of the mechatronic device is basically fixed, the external environment it is in will be affected by the seasonal changes of monsoon ocean currents, generating different air pressure differences in different time periods, thus forming different wind field conditions. And the electric energy converted by the mechatronic device for wind power generation through the fan will also fluctuate to a certain extent due to the changes in the wind field conditions. Therefore, based on the wind energy environment data and the mechanical and electrical production capacity data, the relationship between the wind energy environment where the mechatronic device is located in the near future and the power generation of the motor in the device can be analyzed, and the supportiveness of the wind power conversion environment of the mechatronic device at different historical electrical monitoring times can be obtained. Among them, the greater the supportiveness of the wind power conversion environment, the greater the wind field intensity of the mechatronic device at the corresponding historical electrical monitoring time, reflecting the greater the support of the wind energy for power generation of the mechatronic device at the corresponding historical electrical monitoring time.

[0029] Preferably, in some implementation manners of the embodiment of the present invention, the method for obtaining the supportiveness of the wind power conversion environment is as follows: According to a number of wind energy environment data of the mechatronic device at different historical electrical monitoring times, analyze the wind energy supply situation of the external environment where the mechatronic device is located, and obtain the wind energy supply intensity of the mechatronic device at different historical electrical monitoring times; According to the wind energy supply intensity, analyze the co-directional change relationship between the wind energy environment and the mechanical and electrical production capacity data of the mechatronic device at adjacent historical electrical monitoring times, and obtain the supportiveness of the wind power conversion environment of the mechatronic device at different historical electrical monitoring times. The specific process is as follows: It should be noted that the mechatronic equipment for wind power generation mainly consists of three major hardware components: a wind turbine, a generator, and a transmission device. First, the wind turbine captures the wind energy in the external environment and converts it into mechanical energy. Then, the mechanical energy is transmitted to the generator through the transmission device, driving the generator to directly convert the mechanical energy into electrical energy to complete the power generation operation. When the wind turbine captures wind energy, it mainly reflects the captured wind energy through the rotational speed of the wind turbine blades. These wind turbine blades have different abilities to capture wind energy in different wind directions. However, since the mechatronic equipment is basically fixed in location, these wind turbine blades can usually only efficiently convert the wind energy in a certain direction into mechanical energy. But usually, the wind field environment is complex and random, with diverse wind directions and wind speeds. Therefore, based on a number of wind energy environment data at historical electrical monitoring moments of the mechatronic equipment, the wind energy supply situation of the external environment where the mechatronic equipment is located can be analyzed to obtain the wind energy supply intensity of the mechatronic equipment at historical electrical monitoring moments. Among them, the greater the wind energy supply intensity, the more wind energy captured by the wind turbine in the mechatronic equipment, indicating that the more wind energy in the external environment where the mechatronic equipment is located can supply the generator to generate electrical energy.

[0030] Preferably, in some implementation manners of the embodiments of the present invention, the method for obtaining the wind energy supply intensity is as follows: taking any historical electrical monitoring moment as the target electrical monitoring moment, analyzing the rotation situation of the wind turbine blades before the target electrical monitoring moment according to the wind energy environment data to obtain the environmental energy supply standard value of the wind energy environment data of the mechatronic equipment at the target electrical monitoring moment; comparing the difference between the environmental energy supply standard value and the wind energy environment data to obtain the wind energy supply intensity of the mechatronic equipment at the target historical electrical monitoring moment. The specific process is as follows: Taking each historical electrical monitoring moment before the target electrical monitoring moment as a reference monitoring moment; taking each wind energy reference data in the historical electrical monitoring moment with the maximum wind turbine rotational speed as the environmental energy supply standard value, and taking the historical electrical monitoring moment where the environmental energy supply standard value is located as the environmental standard monitoring moment. Each wind energy reference data at the target electrical monitoring moment corresponds to an environmental energy supply standard value.

[0031] It should be noted that the environmental energy supply standard value corresponding to each wind energy reference data at the target electrical monitoring moment may be the wind energy reference data at a certain reference monitoring moment or the wind energy reference data itself at the target electrical monitoring moment.

[0032] Furthermore, as an example, the wind energy supply intensity can be calculated by the following formula: In the formula, represents the wind energy supply intensity of the mechatronic equipment at the target historical electrical monitoring moment; represents the wind turbine speed of the mechatronic device at the target historical electrical monitoring moment; represents the wind turbine speed of the mechatronic device at the environmental standard monitoring moment; represents the number of all wind energy reference data of the mechatronic device at the target historical electrical monitoring moment; represents the th environmental energy supply standard value of the wind energy reference data and the absolute value of the difference between the th wind energy reference data; represents a normalization function that normalizes the absolute value of the difference between the environmental energy supply standard value of all wind energy reference data and the wind energy reference data.

[0033] Specifically, in this embodiment, the wind energy supply intensity at the first historical electrical monitoring moment is not considered.

[0034] It should be noted that the greater the wind energy supply intensity, the more wind energy captured by the wind turbine in the mechatronic device, reflecting that the wind energy in the external environment where the mechatronic device is located can supply more electrical energy to the generator.

[0035] Furthermore, among all the reference monitoring moments at the target electrical monitoring moment, if there are reference monitoring moments with a continuously positive wind energy supply intensity, then the time period composed of these reference monitoring moments is used as the wind energy supply support time period; the number of reference monitoring moments between the last reference monitoring moment in the wind energy supply support time period and the target electrical monitoring moment is used as the non-support timeliness of the wind energy supply support time period; the wind energy supply support time period with the smallest non-support timeliness is used as the effective wind energy supply time period at the target electrical monitoring moment.

[0036] Furthermore, as an example, the wind power conversion environment supportiveness can be calculated by the following formula: In the formula, represents the wind power conversion environment supportiveness of the mechatronic device at the target historical electrical monitoring moment; represents the total number of reference monitoring moments included in the effective wind energy supply time period; represents the motor current of the mechatronic device at the target historical electrical monitoring moment; represents the non-support timeliness of the effective wind energy supply time period; represents a preset denominator hyperparameter used to prevent the denominator from being zero. In this embodiment, is used for description; represents a normalization function that normalizes the wind power conversion environment supportiveness at all historical electrical monitoring moments.

[0037] It should be noted that the greater the supportiveness of the wind power conversion environment, the greater the wind field intensity of the mechatronic device at the corresponding historical electrical monitoring moment, reflecting the greater the support of the wind energy to the electrical energy generation of the mechatronic device at the corresponding historical electrical monitoring moment.

[0038] Thus, through the above method, the supportiveness of the wind power conversion environment of the mechatronic device at different historical electrical monitoring moments is obtained.

[0039] Step S003: Based on the electrical production intensity of the mechatronic device according to the mechatronic production data, analyze the charging energy consumption feedback of the mechatronic device in different working modes, and combine with the supportiveness of the wind power conversion environment to obtain the electrical energy storage matching degree of each working mode of the mechatronic device at different historical electrical monitoring moments.

[0040] It should be noted that the mechatronic production data reflects to a certain extent the electrical energy content generated by the mechatronic device through capturing wind energy, characterizing the electrical production capacity of the mechatronic device. And the mechatronic device generally presets multiple working modes to adapt to different external operating environments and electrical energy demands; among them, the corresponding components and electrical energy activity conditions scheduled by each working mode are different. Therefore, according to the mechatronic production data, based on the electrical production intensity of the mechatronic device, the charging energy consumption feedback of the mechatronic device in different working modes can be analyzed, and combined with the supportiveness of the wind power conversion environment, the electrical energy storage matching degree of each working mode of the mechatronic device at different historical electrical monitoring moments can be obtained. Among them, the greater the electrical energy storage matching degree, the more matching the electrical energy conversion rate of the mechatronic device is with the corresponding working mode at the corresponding historical electrical monitoring moment, reflecting that the corresponding working mode of the mechatronic device can work effectively at the corresponding historical electrical monitoring moment.

[0041] Preferably, in some implementation manners of the embodiment of the present invention, the method for obtaining the electrical energy storage matching degree is as follows: According to the mechatronic production data, analyze the effective energy storage situation of the electrical energy of the mechatronic device at different historical electrical monitoring moments to obtain the mechatronic effective energy storage degree of the mechatronic device at different historical electrical monitoring moments; according to the mechatronic effective energy storage degree and the supportiveness of the wind power conversion environment, analyze the adaptation proportion of the electrical energy demands and the external operating environment of different working modes of the mechatronic device at the same historical electrical monitoring moment to obtain the mode operation adaptation degree of different working modes of the mechatronic device at each historical electrical monitoring moment; according to the mode operation adaptation degree, analyze the stable maintenance situation of the same working mode of the mechatronic device at consecutive historical electrical monitoring moments to obtain the electrical energy storage matching degree of different working modes of the mechatronic device at each historical electrical monitoring moment. The specific process is as follows: It should be noted that generally, in order to ensure that the mechatronic equipment applied to wind power generation can effectively utilize wind energy resources, the external environment where the mechatronic equipment applied to wind power generation is located usually generates relatively large airflows relatively frequently, and the comprehensive environmental conditions are relatively harsh. At the same time, the mechatronic equipment is usually equipped with a storage battery to store the electric energy generated by the wind to meet the power demand when the wind speed is insufficient or there is no wind. Also, because the storage battery itself is relatively sensitive to the external environmental conditions, the storage battery in the mechatronic equipment will continuously perform deep discharge to varying degrees as the usage time increases and with environmental changes, accelerating the battery's loss and reducing the energy storage effect of the storage battery. Therefore, the effective energy storage situation of the mechatronic equipment at different historical electrical monitoring times can be analyzed based on the mechatronic production capacity data and the supportiveness of the wind power conversion environment, and the mechatronic effective energy storage degree of the mechatronic equipment at different historical electrical monitoring times can be obtained. Among them, the larger the mechatronic effective energy storage degree, the lower the loss of the storage battery in the mechatronic equipment at the corresponding historical electrical monitoring time, indicating that the energy storage effect of the mechatronic equipment at the corresponding historical electrical monitoring time is better.

[0042] Preferably, in some implementation manners of the embodiments of the present invention, the method for obtaining the mechatronic effective energy storage degree is as follows: Analyze the battery charge and discharge situation of the mechatronic equipment at different historical electrical monitoring times according to the supportiveness of the wind power conversion environment, and divide all historical electrical monitoring times into two categories: the main battery charging state and the main battery output state; Analyze the excess progress of electric energy between the main battery charging state and the main battery output state according to the mechatronic production capacity data, and obtain the mechatronic effective energy storage degree of the mechatronic equipment at different historical electrical monitoring times. The specific process is as follows: Taking any historical electrical monitoring time as an example, each historical electrical monitoring time before this historical electrical monitoring time is used as a comparison monitoring time. Preset a threshold for the supportiveness of the wind power conversion environment , taking any comparison monitoring time as an example, the comparison monitoring time when the supportiveness of the wind power conversion environment of the mechatronic equipment at this comparison monitoring time is greater than is used as the main battery charging time; The sequence composed of all main battery charging times is used as the main battery charging state of the mechatronic equipment at this historical electrical monitoring time; The comparison monitoring time when the supportiveness of the wind power conversion environment of the mechatronic equipment at this comparison monitoring time is less than or equal to is used as the main battery output time; The sequence composed of all main battery output times is used as the main battery output state of the mechatronic equipment at this historical electrical monitoring time. Among them, this embodiment is described by taking as an example, and this embodiment is not specifically limited, where can be determined according to the specific implementation situation.

[0043] It should be noted that the historical electrical monitoring moments in the main battery charging state and the main battery output state are default arranged in ascending order of time.

[0044] Further, as an example, the electromechanical effective energy storage degree can be calculated by the following formula: In the formula, represents the electromechanical effective energy storage degree of the mechatronic device at this historical electrical monitoring moment; represents the standard deviation of the motor power at all battery charging main moments in the main battery charging state of the mechatronic device at this historical electrical monitoring moment; represents the standard deviation of the motor power at all battery output main moments in the main battery output state of the mechatronic device at this historical electrical monitoring moment; represents the motor power of the mechatronic device at this historical electrical monitoring moment; represents the motor power of the mechatronic device at the first comparison monitoring moment at this historical electrical monitoring moment; represents a normalization function, which normalizes the electromechanical effective energy storage degree of the mechatronic device at all historical electrical monitoring moments; represents the hyperbolic tangent function, which is used to be restricted within the range.

[0045] It should be noted that the larger the electromechanical effective energy storage degree is, the lower the loss of the storage battery of the mechatronic device at the corresponding historical electrical monitoring moment is, and the better the power storage effect of the mechatronic device at the corresponding historical electrical monitoring moment is reflected.

[0046] Preferably, in some implementation manners of the embodiments of the present invention, the method for obtaining the mode operation adaptability is as follows: According to the electromechanical effective energy storage degree, compare the differences in the electrical conversion requirements of the mechatronic device in different working modes, and obtain the mode operation adaptability of different working modes of the mechatronic device at each historical electrical monitoring moment. The specific process is as follows: It should be noted that there are three working modes for mechatronic devices: grid-connected mode, island mode, and black start mode. If the mechatronic device can provide a large amount of converted electrical energy, it means that the mechatronic device is a device or system that can provide relatively stable electrical energy output for large-scale electrical energy demands, and the grid-connected mode is the most suitable. If the mechatronic device can provide relatively little converted electrical energy, it indicates that the environment where the mechatronic device is located has a relatively obvious random fluctuation effect on electrical energy. To prevent a relatively obvious interference impact on the public power grid, the island mode needs to be carried out to avoid a large interference to the power grid. If the mechatronic device can convert very little electrical energy, it means that the external environment where the mechatronic device itself is located has a very strong interference on the device, or the device itself has certain faults, resulting in an excessively fast battery performance loss rate. At this time, the black start mode needs to be carried out to turn off the corresponding device for on-site maintenance and monitoring.

[0047] Taking any one of the working modes as an example, the inverse proportional normalization value of the absolute value of the difference between the effective mechanical and electrical energy storage degree of the mechatronic device at this historical electrical monitoring moment and the ideal value of the effective mechanical and electrical energy storage degree in this working mode is used as the mode operation adaptability of the mechatronic device in this working mode at this historical electrical monitoring moment; obtain the mode operation adaptability of each working mode of the mechatronic device at all historical electrical monitoring moments. Among them, the embodiment uses a model to present the inverse proportional relationship and normalization processing, which is the input of the model, and the implementer can select the inverse proportional function and normalization function according to the actual situation.

[0048] It should be especially noted that in this embodiment, the ideal value of the effective mechanical and electrical energy storage degree in the grid-connected mode is preset as ; the ideal value of the effective mechanical and electrical energy storage degree in the island mode is ; the ideal value of the effective mechanical and electrical energy storage degree in the black start mode is ; among them, the ideal range of the effective mechanical and electrical energy storage degree in each working mode can be adjusted according to the specific implementation situation, and this embodiment will not elaborate.

[0049] Furthermore, taking any one historical electrical monitoring moment and any one working mode as an example, before this historical electrical monitoring moment of the mechatronic device, the standard deviation of the mode operation adaptability of this working mode at all historical electrical monitoring moments is used as the electrical energy storage matching degree of this working mode of the mechatronic device at this historical electrical monitoring moment.

[0050] It should be especially noted that in this embodiment, the electrical energy storage matching degrees of different working modes at the first historical electrical monitoring moment are not considered.

[0051] It should be noted that the greater the electrical energy storage matching degree is, it indicates that the electrical energy conversion rate of the mechatronic device at the corresponding historical electrical monitoring moment is more matched with the corresponding working mode, reflecting that the corresponding working mode of the mechatronic device can work effectively at the corresponding historical electrical monitoring moment.

[0052] Thus, through the above method, the electrical energy storage matching degree of each working mode of the mechatronic device at different historical electrical monitoring moments is obtained.

[0053] Step S004: According to the energy storage matching degree, analyze the electromagnetic pressure and mechanical pressure borne by the mechatronic device itself in different working modes, and obtain the electrical state adaptability degree of each working mode of the mechatronic device at different historical electrical monitoring moments.

[0054] It should be noted that the mechatronic device mainly includes two constituent modules: a mechanical hardware module and an electronic technology module. During the actual operation of the mechatronic device, both of these constituent modules will be subject to certain interferences, thus affecting the accurate expression of the electrical state in the mechatronic device. Among them, the mechanical hardware module is mainly affected by the external air flow pressure and generates a certain degree of vibration, and the electronic technology module is mainly affected by the random fluctuation of the power generation intensity of the generator, causing a certain range of electromagnetic interference between the electronic components therein. Therefore, according to the energy storage matching degree, the electromagnetic pressure and mechanical pressure borne by the mechatronic device itself in different working modes can be analyzed, and the electrical state adaptability degree of each working mode of the mechatronic device at different historical electrical monitoring moments can be obtained. Among them, the greater the electrical state adaptability degree is, it indicates that the interference intensity suffered by the overall mechanical hardware and electronic software of the mechatronic device at the corresponding historical electrical monitoring moment is lower, reflecting that the electrical state of the mechatronic device at the corresponding historical electrical monitoring moment is more adapted to the corresponding working mode.

[0055] Preferably, in some implementation manners of the embodiment of the present invention, the method for obtaining the electrical state adaptability degree is: comprehensively considering the air flow intensity and current activity range of the mechatronic device in each working mode, obtaining the mechanical and electromagnetic interference of the mechatronic device in each working mode at different historical electrical monitoring moments; combining the electrical energy storage matching degree with the mechanical and electromagnetic interference, obtaining the electrical state adaptability degree of each working mode of the mechatronic device at different historical electrical monitoring moments. The specific process is as follows: It should be noted that the mechanical pressure on the mechatronic device itself is usually mainly affected by the speed of the air flow in the external environment, while the electromagnetic pressure is usually mainly affected by the unstable current converted by the generator under the influence of the mechanical pressure. Therefore, the mechanical and electromagnetic interference of the mechatronic device in each working mode can be obtained by synthesizing the air flow intensity and the current active range at different historical electrical monitoring times of the mechatronic device. Among them, the greater the mechanical and electromagnetic interference, the greater the degree of interference on the electrical state of the generator in the mechatronic device, indicating that the mechatronic device needs to stop running for maintenance and inspection more urgently.

[0056] Preferably, in some implementation manners of the embodiments of the present invention, the method for obtaining the mechanical and electromagnetic interference is as follows: For any working mode, before any historical electrical monitoring time, obtain the current active range and the average air flow intensity of the mechatronic device in the working mode; take the product of the length of the current active range and the average air flow intensity as the mechanical and electromagnetic interference of the mechatronic device in the working mode at the historical electrical monitoring time. The specific process is as follows: Among all the historical electrical monitoring times before this historical electrical monitoring time, take the data range formed by the minimum value and the maximum value of the motor current as the current active range; take the average value of all wind speeds as the average air flow intensity; take the product of the length of the current active range and the average air flow intensity as the mechanical and electromagnetic interference of the mechatronic device in this working mode at this historical electrical monitoring time. In this embodiment, it is default to a function as an example for normalization processing, where the normalization function can be determined according to specific implementation situations, and will not be elaborated in this embodiment.

[0057] It should be noted that the greater the mechanical and electromagnetic interference, the greater the degree of interference on the electrical state of the generator in the mechatronic device, indicating that the mechatronic device needs to stop running for maintenance and inspection more urgently.

[0058] Furthermore, take the normalized value of the ratio between the electrical energy storage matching degree and the mechanical and electromagnetic interference of the mechatronic device in this working mode at this historical electrical monitoring time as the electrical state adaptation degree of the mechatronic device in this working mode at this historical electrical monitoring time.

[0059] It should be specifically noted that the electrical state adaptation degree of the first historical electrical monitoring time is not considered in this embodiment.

[0060] It should be noted that the greater the electrical state adaptation degree, the lower the interference intensity on the overall mechanical hardware and electronic software of the mechatronic device at the corresponding historical electrical monitoring time, indicating that the electrical state of the mechatronic device at the corresponding historical electrical monitoring time is more adapted to the corresponding working mode.

[0061] So far, the electrical state adaptation degrees of each working mode of the mechatronic device at different historical electrical monitoring moments are obtained through the above method.

[0062] Step S005: According to the electrical state adaptation degree, adaptively select a working mode to match the electromechanical device and monitor the electrical state.

[0063] In a specific implementation manner of the embodiment of the present invention, the monitoring process of the electrical state is as follows: Taking any historical electrical monitoring moment as an example, at this historical electrical monitoring moment of the mechatronic device, the working mode with the largest electrical state adaptation degree is used as the adapted working mode of the mechatronic device at this historical electrical monitoring moment; after obtaining the adapted working modes of the mechatronic device at all historical electrical monitoring moments, the adapted working mode of the mechatronic device at the latest monitoring moment is obtained in real time.

[0064] Furthermore, if the adapted working mode of the mechatronic device at the latest monitoring moment is the black start mode, then the system prompts that the mechatronic device needs to stop running for repair and replacement; if the adapted working mode of the mechatronic device at the latest monitoring moment is the island mode, then the system prompts the mechatronic device to start the island mode; if the adapted working mode of the mechatronic device at the latest monitoring moment is the grid-connected mode, and the number of times the black start mode appears before the latest monitoring moment is less than the preset number threshold , then the system prompts the mechatronic device to start the grid-connected mode, otherwise, the system prompts the mechatronic device to start the island mode. Here, this embodiment takes times as an example for description, and this embodiment does not make specific limitations, where it can be determined according to the specific implementation situation.

[0065] Through the above steps, a method for monitoring the electrical state of an electromechanical device is completed.

[0066] Another embodiment of the present invention provides a system for monitoring the electrical state of an electromechanical device. The system includes a memory and a processor. When the processor executes the computer program stored in the memory, it executes the above method steps S001 to S005.

[0067] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application, and all should be included in the protection scope of the present application.

Claims

1. A method for monitoring the electrical status of electromechanical equipment, characterized in that: The method comprises the following steps: Obtain some wind energy environment data and some electromechanical production capacity data of mechatronic equipment at different historical electrical monitoring moments; Based on wind energy environment data and electromechanical production data, the influence of the recent wind energy environment of mechatronic equipment on the power generation of the motor in the equipment is analyzed, and the wind power conversion environment support of mechatronic equipment at different historical electrical monitoring times is obtained; According to the electromechanical capacity data and the power generation intensity of mechatronic equipment, the charging energy consumption feedback of mechatronic equipment under different working modes is analyzed. Combined with the support of wind power conversion environment, the electric energy storage matching degree of mechatronic equipment in each working mode at different historical electrical monitoring moments is obtained. According to the energy storage matching degree, the electromagnetic pressure and mechanical pressure borne by the mechatronic equipment in different working modes are analyzed to obtain the electrical state adaptability of the mechatronic equipment in each working mode at different historical electrical monitoring moments; According to the adaptability of the electrical state, the working mode is adaptively selected to match the electromechanical equipment to monitor the electrical state.

2. A method for monitoring the electrical status of electromechanical equipment according to claim 1, characterized in that: The method for obtaining the environmental supportability of wind power conversion is: According to several wind energy environment data of mechatronic equipment at different historical electrical monitoring moments, the wind energy supply situation of the external environment where the mechatronic equipment is located is analyzed, and the wind energy supply intensity of the mechatronic equipment at different historical electrical monitoring moments is obtained; according to the wind energy supply intensity, the relationship between the unidirectional change of wind energy environment and mechatronic production capacity data of mechatronic equipment at adjacent historical electrical monitoring moments is analyzed, and the support of wind power conversion environment of mechatronic equipment at different historical electrical monitoring moments is obtained.

3. A method for monitoring the electrical status of electromechanical equipment according to claim 2, characterized in that: The method for obtaining the wind energy supply intensity is: Take any historical electrical monitoring moment as the target electrical monitoring moment, analyze the rotation of the wind turbine blades of the mechatronic equipment before the target electrical monitoring moment according to the wind energy environment data, and obtain the environmental energy supply standard value of the wind energy environment data of the mechatronic equipment at the target electrical monitoring moment; compare the difference between the environmental energy supply standard value and the wind energy environment data, and obtain the wind energy supply intensity of the mechatronic equipment at the target historical electrical monitoring moment.

4. The method for monitoring the electrical status of electromechanical equipment according to claim 1, characterized in that: The method for obtaining the electric energy storage matching degree is: According to the electromechanical capacity data and the support of the wind power conversion environment, the effective energy storage of mechatronic equipment at different historical electrical monitoring moments is analyzed, and the effective electromechanical energy storage degree of mechatronic equipment at different historical electrical monitoring moments is obtained; according to the effective electromechanical energy storage degree, the adaptation of different working modes of mechatronic equipment to the energy conversion environment at the same historical electrical monitoring moment is analyzed, and the mode operation adaptability of different working modes of mechatronic equipment at each historical electrical monitoring moment is obtained; according to the mode operation adaptability, the stability of the same working mode of mechatronic equipment at continuous historical electrical monitoring moments is analyzed, and the electrical energy storage matching degree of each working mode of mechatronic equipment at different historical electrical monitoring moments is obtained.

5. A method for monitoring the electrical status of electromechanical equipment according to claim 4, characterized in that: The method for obtaining the electromechanical effective energy storage degree is: According to the support of the wind power conversion environment, the battery charging and discharging conditions of the mechatronic equipment at different historical electrical monitoring moments are analyzed, and all historical electrical monitoring moments are divided into two categories: the battery charging main state and the battery output main state. According to the electromechanical capacity data, the excess progress of electric energy between the battery charging main state and the battery output main state is analyzed to obtain the electromechanical effective energy storage degree of the mechatronic equipment at different historical electrical monitoring moments.

6. A method for monitoring the electrical status of electromechanical equipment according to claim 4, characterized in that: The method for obtaining the mode operation suitability is: According to the effective electromechanical energy storage degree, the differences in electrical conversion requirements of mechatronic equipment under different working modes are compared, and the mode operation adaptability of mechatronic equipment in different working modes at each historical electrical monitoring moment is obtained.

7. A method for monitoring the electrical status of electromechanical equipment according to claim 1, characterized in that: The method for obtaining the electrical state adaptability is: The wind flow intensity and current active range of the mechatronic equipment in each working mode are integrated to obtain the mechanical electromagnetic interference of the mechatronic equipment in each working mode at different historical electrical monitoring moments; The electrical energy storage matching degree is combined with the mechanical electromagnetic interference to obtain the electrical state adaptability of each working mode of the mechatronic equipment at different historical electrical monitoring moments.

8. A method for monitoring the electrical status of electromechanical equipment according to claim 7, characterized in that: The method for obtaining the mechanical electromagnetic interference is: For any working mode, before any historical electrical monitoring moment, the current active interval and the average wind flow intensity of the mechatronic equipment in the working mode are obtained; the product of the length of the current active interval and the average wind flow intensity is taken as the mechanical electromagnetic interference of the working mode of the mechatronic equipment at the historical electrical monitoring moment.

9. A method for monitoring the electrical status of electromechanical equipment according to claim 1, characterized in that: After calculating the electrical state suitability, it also includes: The electrical state fitness is normalized.

10. An electrical condition monitoring system for electromechanical equipment, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the computer program is executed by a processor, the steps of a method for monitoring the electrical status of electromechanical equipment as described in any one of claims 1 to 9 are implemented.

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